Redo MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Redo as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="redo_agent",
tools=tools,
system_message=(
"You help users with Redo. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Redo MCP Server
Connect your Redo account to any AI agent to automate your returns management and shipping protection workflows through the Model Context Protocol (MCP). Redo provides a comprehensive suite for handling customer returns, exchanges, and package protection claims for lost or damaged items. This MCP server enables you to track return requests, approve claims, and process final resolutions directly through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Redo tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
Key Features
- Returns & Claims Oversight — List all return requests and shipping protection claims, checking their status and customer metadata instantly.
- Status Automation — Update the lifecycle status of a return (e.g., approved, rejected) programmatically from your chat interface.
- Resolution Processing — Trigger final actions like refunds, store credits, or exchange order creation for lost or damaged packages.
- Collaborative Notes — Add internal comments and communication logs to any return or claim record for better team alignment.
- Coverage Discovery — Access high-level information about your shipping protection settings and eligible products.
- Shipping Rate Calculation — Retrieve real-time shipping rates for return packages to estimate costs for your customers.
- Webhook Visibility — Monitor active webhooks to ensure your internal systems are receiving real-time return notifications.
- Real-time Synchronization — Keep your post-purchase operations accessible to your AI assistant without leaving your primary workspace.
The Redo MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Redo to AutoGen via MCP
Follow these steps to integrate the Redo MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Redo automatically
Why Use AutoGen with the Redo MCP Server
AutoGen provides unique advantages when paired with Redo through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Redo tools to solve complex tasks
Role-based architecture lets you assign Redo tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Redo tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Redo tool responses in an isolated environment
Redo + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Redo MCP Server delivers measurable value.
Collaborative analysis: one agent queries Redo while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Redo, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Redo data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Redo responses in a sandboxed execution environment
Redo MCP Tools for AutoGen (12)
These 12 tools become available when you connect Redo to AutoGen via MCP:
add_internal_note
Post a return comment
approve_return_claim
Approve a request
get_protection_summary
Get coverage details
get_return_details
Get return metadata
get_return_shipping_rates
Get shipping costs
get_store_details
Get store metadata
list_protected_items
List covered products
list_return_webhooks
List webhook configs
list_store_returns
List returns/claims
process_final_resolution
Finalize return/claim
reject_return_claim
Reject a request
verify_api_connection
Check connection
Example Prompts for Redo in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Redo immediately.
"List the last 5 pending return requests."
"Approve the return claim for ID 'ret_abc123'."
"Get the shipping rates for return 'ret_abc123'."
Troubleshooting Redo MCP Server with AutoGen
Common issues when connecting Redo to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Redo + AutoGen FAQ
Common questions about integrating Redo MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Redo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Redo to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.